class_docstr: This is an adaptor to time-reverse a FusedRNNCell.
  
  For example,
  
  ```python
  cell = tf.compat.v1.nn.rnn_cell.BasicRNNCell(10)
  fw_lstm = tf.contrib.rnn.FusedRNNCellAdaptor(cell, use_dynamic_rnn=True)
  bw_lstm = tf.contrib.rnn.TimeReversedFusedRNN(fw_lstm)
  fw_out, fw_state = fw_lstm(inputs)
  bw_out, bw_state = bw_lstm(inputs)
  ```
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code: def __init__(self, cell):
      self._cell = cell
  
file_path: spark-nlp/python/sparknlp/training/_tf_graph_builders/tf2contrib/fused_rnn_cell.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import abc
  import six
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import rnn
label_desc: Use image node_id 1 to create a new TimeReversedFusedRNN object from inherited base classes: FusedRNNCell with example: obj = TimeReversedFusedRNN(cell)